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Building a Smart IoT Greenhouse with ESP32

January 15, 20258 min read

The Problem

Traditional greenhouses require constant manual monitoring. Temperature, humidity, and soil moisture need to be checked multiple times a day. This is inefficient and error-prone.

The Solution

I built a fully automated greenhouse monitoring system using:

  • ESP32 as the main microcontroller
  • DHT22 for temperature and humidity
  • Capacitive soil moisture sensor for soil monitoring
  • BH1750 for light intensity measurement
  • Firebase Realtime Database for cloud storage
  • Architecture

    The system follows a simple but effective architecture:

    Sensors → ESP32 → WiFi → Firebase → Android App

    Each sensor reads data every 30 seconds. The ESP32 aggregates the readings and pushes them to Firebase. The Android app displays real-time data with charts and alerts.

    Key Code Snippet

    Here's how I initialized the sensor array on the ESP32:

    cpp
    #include <DHT.h>
    #include <BH1750.h>
    
    DHT dht(4, DHT22);
    BH1750 lightMeter;
    
    void setup() {
      Serial.begin(115200);
      dht.begin();
      lightMeter.begin();
    }

    Results

    The system reduced manual monitoring time by 90% and improved crop yield by 25% through optimal condition maintenance.

    What I Learned

  • Power management is crucial for IoT devices
  • Firebase free tier is sufficient for small-scale IoT
  • Capacitive sensors are more reliable than resistive ones
  • OTA updates save enormous time during development